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Training for the team

AI training: tender monitoring

Syntalith's tender monitoring training covers the selection of notices for further analysis and checking changes in their content. We offer a program for people searching for procedures and the team that assesses the possibility of preparing an offer. The price starts from €1,150 net per day. Participants practice on an agreed set of documents, indicating the source of each significant finding.

net per day of closed training for the team
from €1,150
people in one training group
up to 15
after this time, we measure the effect on the same tasks
30 days
conversation with an engineer and a written plan within 2 business days
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Statistics

How much does AI training in tender monitoring cost and when does it pay off?

Short answer

AI training in tender monitoring costs from €1,150 net per day. In our Polish cost example, a PLN 4,900 training fee pays back in 2.6 months: 10 people save an hour a week, and after the licenses they have PLN 1,905 left per month. The team practices reviewing advertisements, comparing requirements and lists of questions to the ordering party. We measure task time before the training and after 30 days.

70,9%

According to Eurostat (2025), 70.9% of companies in the EU that have considered AI but are not using it cited a lack of knowledge within the team as the reason.

Source: Eurostat, AI in enterprises (2025) ↗

Figures checked: 22 October 2026

Scope step by step

From Found Advertisement to Decision on Analysis

First, the team describes what kind of orders they are looking for: scope of work, service area, and information needed for the initial assessment. In the first module, participants compare the company's need description with several advertisements. AI helps prepare a short note on the match. The author must show excerpts on which the conclusion is based and separate missing information from non-fulfillment of conditions.

The person responsible for tendering reads the note and asks questions. The participant fills in the justification or refers the matter to clarification. The similarity of the advertisement title to the company's profile is not enough to recommend starting work on the offer.

Changing an Advertisement Requires Re-reading

The second module concerns updating materials. In a fictional task, the initial file and later change indicate different deadlines. AI summary keeps the date from the first file. The participant finds the discrepancy and corrects the note, specifying from which document the new entry comes. The instructor checks both the date and whether the change refers to the same procedure.

We also practice transferring the matter to a technical person. She should receive a question about a specific scope along with the source, and then see what changes in the note after her response. Detailed work on requirements is described in the team tendering training guide.

In a self-directed attempt, the update concerns only one part of the order. The participant should maintain the distinction between parts and indicate open questions. This allows assessing whether the participant can check the scope of the change without the instructor's guidance.

Who Should Participate?

The person leading the search describes selection criteria. A specialist helps assess the scope of work, and the tendering coordinator determines the method of transferring the matter. Their involvement is adapted to the modules. The basics of AI handling and working with long documentation are planned depending on participants' experience.

The workshop includes reading and editing information. Interpretation of order law, confirmation of condition fulfillment, and decision to submit an offer remain outside the program. We do not activate within this scope constant portal monitoring or automatic document submission.

How to Prepare the Training Scope?

We can work on fictional materials or an earlier agreed set of public documents. The company indicates the allowed tool. Access and licenses are set before the sessions; Syntalith does not sell licenses. The described exercises are a proposal for the program, without prior declarations of results from previous participants.

In the team training offer, we agree on the format online or at the client's location, groups, and subsequent sessions. Describe the method of transferring found tenders: who reads them and what information is usually missing for further assessment.

How Much Does the Training Cost and When Is It Recouped

Training starts at €1,150 net per day. We calculate the return on one process, without assumptions about the entire company.

Scenario: 10 people after training (Polish cost example, PLN)
Time savings
43.3 hours/month
Value of time
2,877 PLN
ChatGPT Business Licenses
250 USD (972 PLN)
Remaining after licenses
1,905 PLN/month

Return on training for 4,900 PLN

2.6 months

10 people × 1 hour weekly × 4.33 weeks = 43.3 hours. Weekly hour savings per person is cautiously assumed and checked by measuring time of tasks before and after 30 days. An hour of work at 66.45 PLN is the average wage according to GUS from September 2026, including employer costs. Licenses: ChatGPT Business Standard 25 USD per place monthly, kurs NBP 3.8889 PLN. If the team already has licenses, the return is faster.

According to a study published in Science (2023), the time for writing tasks with ChatGPT has dropped by 40%. That is why the scenario adopts a cautious weekly hour and checks it by measurement.

„I already use AI.”

Your people too. Just no rules.

From our conversations with companies

5 na 10 employees paste sensitive data into private AI accounts: contracts, invoices, customer data.

In ESET survey (2026)

1 na 10 admits this in the survey.

Customer data pasted into a private AI account without an data processing agreement is a violation of the GDPR.

Don't worry, we won't tell anyone :)

What do we see in companies that "already use"

  • Only ChatGPT or Claude accounts, without plugins, skills, integrations and MCP servers with company tools.
  • Company programs are not connected to AI. People still click through systems and Excel, and enter chat data manually.
  • Lack of company standards: everyone writes instructions in their own way, no one shares what works.
  • No rules for personal data, GDPR and company secrets.
  • No limits and no visibility: no one knows who uses AI, how much and for what.

62% Polish employees use AI at work · 27% companies have written rules for working with AI.

Source: ESET and DAGMA, Cyberportrait of Polish business 2026 (March 2026, 1,026 people) ↗

ChatGPT or Claude space review

Accounts, permissions, rules for working with data and 5 tasks set for the team. 1 day.

€450 net

ChatGPT rollout →Claude rollout →

Training on your team's tasks, from €1,150 net per day.See range and price →

Scope and price

From €1,150 net per day

We determine the program, number of groups and time to discuss the work before the quote.

Claude Partner Network member

Denotes membership in Anthropic's partner program for Claude. Not an endorsement of Syntalith's services by Anthropic.

1:1 course participants

People we've trained one-on-one.

Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗
  • „A large stream of documents passes my desk every week. I now review, draft and prepare them with Claude in a fraction of the time, and research that used to eat an afternoon takes minutes. It is wired into the services I already work in, so the documents reach me instead of me hunting for them.”

    Hlib Utkin, public administrationHlib UtkinPublic administration
  • „I came in using coding agents ad hoc and left orchestrating them: loops, an agent kanban, a full development cycle that ships. What stayed with me is running context and cost on purpose, and building my own harnesses instead of waiting for a tool to ship one. It changed how I work day to day.”

    Ivan Chepurin, Senior Software Engineer at ImmutableIvan ChepurinSenior Software Engineer, Immutable
  • „I run a design studio, not an engineering team, and I still left with something working. We built an agent loop that pulls in leads and keeps an eye on the competition, and I put my own site together with Claude. It was hands-on, on my real work, not a talk about AI.”

    Oleksandr Usyk, co-founder and art director at jakotako.designOleksandr UsykCo-founder & Art director, jakotako.design

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
You buy accounts directly from OpenAI or Anthropic and receive an invoice from them. We do not add anything to the license.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.